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LatestLightricks2
LightricksImage → Video

Lightricks Releases LTX-2 Multimodal Video Generator

The new diffusion model from the creative app company can generate short video clips from text, images, audio, and even other videos.

Jan 3, 2026
Major releaseOther
LTX-2.5

Lightricks, the company behind popular creative apps like Facetune and Videoleap, has released LTX-2, a powerful multimodal model for video synthesis. Unlike many generators that focus on a single input type, LTX-2 is designed for versatility, capable of creating video clips from a wide range of prompts including text descriptions, still images, audio tracks, and existing videos.

The model is built on a latent video diffusion architecture. It uses a suite of specialized encoders to interpret different inputs: a T5-based encoder for text, a CLIP encoder for images, and a CLAP encoder for audio. These components work together within a U-Net backbone to translate multimodal concepts into coherent video sequences.

Open Under a Responsible AI License

Lightricks has made the model weights available on Hugging Face, but its use is governed by a CreativeML Open RAIL-M license. This is a “Responsible AI License” that permits commercial use but includes specific restrictions against certain applications, such as generating misinformation or content for malicious purposes. This licensing strategy is part of a growing trend where developers aim to balance open access with safeguards against misuse.

While LTX-2 represents another step forward for accessible video generation tools, the creators note its limitations. Like many current video models, it can sometimes produce visual artifacts and may struggle with perfect temporal consistency over longer clips. The model is available for download and experimentation on the Hugging Face Hub.

Sources

  • Lightricks/LTX-2

    Hugging Face

    Visit
OlderMoonshot AI Releases Kimi K2.5 Multimodal ModelMoonshot AI · Vision-Language · 10 months agoNewerSupertone Open-Sources Supertonic 2 Voice ModelSupertone · Text → Speech · 10 months ago

Get the model

Hugging Face

Specs

Size37.8 GB
PrecisionBF16
ArchitectureLTX2Pipeline
LicenseOTHER
Downloads3.5K
Likes157

Can you run it?

Runs on a 24 GB GPU at FP8.

  • BF16 (as published)

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    38.8 GB
  • FP8

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    19.9 GB
Your machine
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Image → VideoText → Video
4 versions — view changelog

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